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Energy Load and Power Forecasting

109 та иш

  1. Entropic multiple-relaxation-time lattice Boltzmann models

    Pietro Asinari

    МақолаLattice Boltzmann Simulation Studies20080 иқтибос
    ABI

  2. Application of users' light-switch stochastic models to dynamic energy simulation

    Vittoria Camisassi, Valentina Fabi, Rune Korsholm Andersen +1

    МақолаSmart Grid Energy ManagementPORTO Publications Open Repository TOrino (Politecnico di Torino)20140 иқтибос
    ABI

  3. OPTIMUS Analysis tools to process data and inference rules

    Álvaro Sicilia, Gonçal Costa, Haris Doukas +6

    МақолаEnergy Load and Power ForecastingZenodo (CERN European Organization for Nuclear Research)20160 иқтибос
    ABI

  4. OPTIMUS Analysis tools to process data and inference rules

    Álvaro Sicilia, Gonçal Costa, Haris Doukas +6

    МақолаEnergy Load and Power ForecastingZenodo (CERN European Organization for Nuclear Research)20160 иқтибос
    ABI

  5. A Neural Networks Approach for DORIS Time Series Prediction

    Fazilova, Dilbarkhon

    МақолаStock Market Forecasting MethodsCentre National d’Etudes Spatiales20180 иқтибос
    ABI

  6. Smart power consumption management and alert system using IoT on big data

    Anil Kumar, S. A. Al‐Ghamdi, Abolfazl Mehbodniya +3

    МақолаSmart Grid Energy ManagementSustainable Energy Technologies and Assessments20220 иқтибос
    ABI

  7. PANDEMIYA SHAROITIDA XOLTER ELEKTROKARDIOGRAFNING O`RNI

    Raximberganov Sanjarbek Rustam o`g`li

    МақолаEnergy Load and Power ForecastingZenodo (CERN European Organization for Nuclear Research)20220 иқтибос
    ABI

  8. Machine Learning Method Based on Symbiotic Organism Search Algorithm for Thermal Load Prediction in Buildings

    Fatemeh Nejati, Wahidullah Omer Zoy, Nayer Tahoori +3

    МақолаBuilding Energy and Comfort OptimizationBuildings20230 иқтибос
    ABI

  9. Enhancing Stock Price Prediction with Deep Cross-Modal Information Fusion Network

    Rabi Chandra Mandal, Rajnish Kler, Anil Tiwari +4

    МақолаStock Market Forecasting MethodsFluctuation and Noise Letters20230 иқтибос
    ABI

  10. Comparison of ARIMA and Deep Learning Models for Forecasting the Consumer Price Index in Uzbekistan: Using R Packages

    Odiljon Rikhsimbaev, Akram Ishnazarov, Sarvar Mamasoliyev

    МақолаStock Market Forecasting Methods20230 иқтибос
    ABI

  11. NAIRU IN UZBEKISTAN: A TRADE-OFF BETWEEN INFLATION AND UNEMPLOYMENT (2016-2022)

    Nargiza Nabiyeva

    МақолаEnergy Load and Power ForecastingInternational Journal of Economics and Innovative Technologies20230 иқтибос
    ABI

  12. Dual-Attention Based Multi-Path Approach for Intensifying Stock Market Forecasting

    Sachin R. Jadhav, Aashima Bishnoi, Nodira Safarova +3

    МақолаStock Market Forecasting MethodsFluctuation and Noise Letters20230 иқтибос
    ABI

  13. Research on Forecast Algorithm of Financial Time Series Analysis Based on Markov Model

    Manorama Devi, J. Jasmine Hephzipah, N. Esanmurodova +3

    МақолаStock Market Forecasting Methods20230 иқтибос
    ABI

  14. Smart Prediction Models for Energy Efficiency in Smart Residential Buildings: A Deep Learning Approach

    A. Vasantharaj, M. Irshad Ahamed, K. V. Prema +3

    МақолаBuilding Energy and Comfort Optimization20230 иқтибос
    ABI

  15. Study on energy balance calculation of the electric network

    Abdugani Rakhmatov, Kh Sh Aripov

    МақолаSmart Grid Energy ManagementIOP Conference Series Earth and Environmental Science20230 иқтибос
    ABI

  16. A NOVEL PROBABILISTIC METHOD FOR ENERGY LOSS ESTIMATION USING MINIMAL LINE CURRENT INFORMATION

    X.Z.Nazirova, O.Z.Nazirova, Sh.A.Abdunazarov

    МақолаEnergy Load and Power ForecastingZenodo (CERN European Organization for Nuclear Research)20230 иқтибос
    ABI

  17. EFFECT OF THE FLOW VELOCITY ON THE DOWNSTREAM ENERGY ABSORBERS AND VELOCITY COEFFICIENT

    Khidirov Sanatjon, Artikbekova Fotima, Shomurodov Abdulaziz +1

    МақолаEnergy Load and Power ForecastingZenodo (CERN European Organization for Nuclear Research)20230 иқтибос
    ABI

  18. Unlocking Energy Sector Reforms: Tackling Monopolies and Regulatory Challenges

    Samiev Shakhrukh

    МақолаElectric Power System OptimizationAcademia Open20230 иқтибос
    ABI

  19. Construction of Low-carbon Economic Development Level Model Based on BP Neural Network Algorithm

    Nigmatullayeva Gulchekhra Nurullayevna, A. Gnana Soundari, I. Parvin Begum +3

    МақолаEnergy Load and Power Forecasting20230 иқтибос
    ABI

  20. A comprehensive strategy for optimizing demand side management in smart grid systems, using both forecasting techniques and advanced metering infrastructure frameworks

    N. Prathap, S. Vijayalakshmi, Rakesh Kumar +5

    МақолаSmart Grid Energy Management20230 иқтибос
    ABI

  21. Forecasting Smart Grid Stability Using a Hybrid CNN Bi-LSTM Approach

    Divya Singhal, Laxmi Ahuja, Ashish Seth

    МақолаEnergy Load and Power ForecastingSN Computer Science20240 иқтибос
    ABI

  22. Machine Learning-Based Renewable Energy Systems Fault Mitigation and Economic Assessment

    Syed Ghyasuddin Hashmi, V Balaji, Mohamed Uvaze Ahamed Ayoobkhan +5

    МақолаEnergy Load and Power ForecastingElectric Power Components and Systems20240 иқтибос
    ABI

  23. Comparison of LSTM and ARIMA Algorithms in Predicting Water Levels in Jakarta

    Emil R. Kaburuan, Ratna Mutu Manikam, Olimjon Kucharov Kucharov Olimjon Ruzimurodovich +1

    МақолаHydrological Forecasting Using AI20240 иқтибос
    ABI

  24. Unfixed Seasonal Partition Based on Symbolic Aggregate Approximation for Forecasting Solar Power Generation Using Deep Learning

    Min‐Jin Kwak, Tserenpurev Chuluunsaikhan, Azizbek Marakhimov +2

    МақолаEnergy Load and Power ForecastingElectronics20240 иқтибос
    ABI

  25. Sustainable Energy Management using Machine Learning

    Dilfuza Gulyamova, Markhamat Khaydarova

    МақолаSmart Grid Energy ManagementInternational Journal For Multidisciplinary Research20240 иқтибос
    ABI